Development & Testing
How the AI Solutions Team builds and tests your custom AI voice agent.
The Build Process
Once your requirements are reviewed, our engineering team begins the development phase. This involves multiple parallel tracks to ensure the agent is both conversational and functional.
Persona & Prompt Design
We construct a system prompt that dictates the agent's tone (e.g., professional, empathetic) and defines the conversational boundaries it must operate within.
Workflow Logic
We map out the call flow. For example, if a user asks about pricing, the agent first asks for their company size to qualify the lead before quoting.
Knowledge Ingestion
We process your uploaded documents and website URLs, breaking them down into searchable vector embeddings for real-time retrieval during calls.
Custom Tools & APIs
We implement function calls that allow the agent to execute actions, like booking a calendar slot or pushing data to your CRM.
Internal Testing & QA
Before you ever hear the agent, it undergoes rigorous internal testing by our QA team:
- Adversarial Testing: We attempt to make the agent hallucinate, swear, or leak prompt instructions to ensure guardrails are solid.
- Latency Optimization: We fine-tune the Voice Activity Detection (VAD) models so the agent replies quickly but doesn't cut the user off prematurely.
- Accuracy Checks: We ask obscure questions to verify the agent accurately retrieves data from the knowledge base rather than making things up.
User Acceptance Testing (UAT)
Once internal QA passes, we provide you with a temporary Test Phone Number. Your team can call this number to roleplay various customer scenarios.
Best Practice: During UAT, have different team members test the agent. Have some speak slowly, some with accents, and some who try to interrupt the AI. Provide detailed feedback in your dashboard on what worked well and what needs adjustment.